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Modeling electrical conductivities of nanocomposites with aligned carbon nanotubes

机译:用排列的碳纳米管模拟纳米复合材料的电导率

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We have developed an improved three-dimensional (3D) percolation model to investigate the effect of the alignment of carbon nanotubes (CNTs) on the electrical conductivity of nanocomposites. In this model, both intrinsic and contact resistances are considered, and a new method of resistor network recognition that employs periodically connective paths is developed. This method leads to a reduction in the size effect of the representative cuboid in our Monte Carlo simulations. With this new technique, we were able to effectively analyze the effects of the CNT alignment upon the electrical conductivity of nanocomposites. Our model predicted that the peak value of the conductivity occurs for partially aligned rather than perfectly aligned CNTs. It has also identified the value of the peak and the corresponding alignment for different volume fractions of CNTs. Our model works well for both multi-wall CNTs (MWCNTs) and single-wall CNTs (SWCNTs), and the numerical results show a quantitative agreement with existing experimental observations.
机译:我们已经开发了一种改进的三维(3D)渗滤模型,以研究碳纳米管(CNT)的排列对纳米复合材料电导率的影响。在该模型中,考虑了固有电阻和接触电阻,并开发了一种采用周期性连接路径的电阻器网络识别新方法。在我们的蒙特卡洛模拟中,这种方法导致代表性长方体的尺寸效应减小。使用这项新技术,我们能够有效地分析CNT排列对纳米复合材料电导率的影响。我们的模型预测,电导率的峰值出现在部分对齐而不是完全对齐的CNT上。它还确定了峰的值以及不同体积分数的CNT的对应排列。我们的模型对于多壁CNT(MWCNT)和单壁CNT(SWCNT)都适用,并且数值结果与现有的实验观察结果在定量上吻合。

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